An Improved Adaptive Federal Kalman Filter Algorithm For Integrated Navigation

DOI

10.2991/isrme-15.2015.97How to use a DOI?

Keywords

SINS; Integrated Navigation; GPS; Adaptive Federal Kalman Filter

Abstract

Integrated navigation system has become an important navigation system. On the basis of previous research about the federal Kalman filter, this paper mainly studied the key technologies of low-cost SINS/GPS/Magnetic compass integrated navigation system, an adaptive federal filter method of vector-form information distribution coefficients is proposed and compared with ordinary federal Kalman filter and the adaptive federal filter based on filter covariance matrix eigenvalue decomposition. The simulation results show that the proposed algorithm can get higher accuracy of navigation.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ying Zhai
AU  - Xisheng Li
AU  - Yibo Feng
AU  - Xiaojuan Zhang
PY  - 2015/04
DA  - 2015/04
TI  - An Improved Adaptive Federal Kalman Filter Algorithm For Integrated Navigation
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 456
EP  - 460
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.97
DO  - 10.2991/isrme-15.2015.97
ID  - Zhai2015/04
ER  -